Titlebook: Expert Performance Indexing in Azure SQL and SQL Server 2022; Toward Faster Result Edward Pollack,Jason Strate Book 2023Latest edition Edwa

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Indexing Myths and Best Practices,In the past few chapters, indexes have been introduced along with how they are structured. In the upcoming chapters, strategies will be discussed to build indexes and ensure that they behave as expected. In this chapter, some common myths will be dispelled while a foundation is built for creating effective indexes.

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Index Maintenance,Like anything in life, indexes require maintenance. Over time, the performance benefits of indexes can wane or, through data modifications, their sizes and the underlying statistics can drift and bloat. To prevent these issues, indexes must be maintained. Doing so will help ensure that a database will remain a lean, mean query-running machine!

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Index Fundamentals,be introduced. This will lead to a discussion of how data is stored in indexes, focusing on clustered, non-clustered, and columnstore indexes. We will also explore heaps. Indexing is a key component in any database, whether it is stored on premises or in Azure (or another cloud service).

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Index Metadata and Statistics,atistics provide insight into how SQL Server manages and uses indexes. It also provides the information needed to determine why an index may or may not be selected and how it is behaving. This chapter will provide a deeper understanding about where and how this information is collected. Some additio

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Full-Text Indexing,has been the . length used with variable-length character data types . and .. This means you can store up to 2 GB worth of character information within a single column. While SQL Server can store this information, the 1,700-byte limit for non-clustered indexes and 900-byte limit on clustered indexes

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